Socializing in emergencies—A review of the use of social media in emergency situations

Simon, Tomer; Goldberg, Avishay; Adini, Bruria

doi:10.1016/j.ijinfomgt.2015.07.001

Cited by 393 publications

(263 citation statements)

References 50 publications

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“…Making sense of crisis events is, of course, not enabled solely through SNS, but the role of SNS in crisis events has been increasing (Simon et al, 2015;Sutton et al, 2014). Because SNS enable users to interact, collaborate, and upload user-generated content in real time from devices with internet access, such as smartphones, the platforms can be of tremendous use during highly dynamic crisis situations (Mendoza et al, 2010).…”

Section: Twitter and Collective Sense-making In The Aftermath Of Crismentioning

confidence: 99%

Terror Management and Twitter: The Case of the 2016 Berlin Terrorist Attack

Fischer

Schwemmer

Fischbach

2018

Preprint

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There is evidence that people increasingly use social networking sites like Twitter in the aftermath of terrorist attacks to make sense of the events at the collective level. This work-in-progress paper focuses on the content of Twitter messages related to the 2016 terrorist attack on the Berlin Christmas market. We chose topic modeling to investigate the Twitter data and the terror management theory perspective to understand why people used Twitter in the aftermath of the attack. In particular, by connecting people and providing a real-time communication channel, Twitter helps its users collectively negotiate their worldviews and re-establish self-esteem. We provide first results and discuss next steps.

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Section: Twitter and Collective Sense-making In The Aftermath Of Crismentioning

confidence: 99%

Terror Management and Twitter: The Case of the 2016 Berlin Terrorist Attack

Fischer

Schwemmer

Fischbach

2018

Preprint

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“…(2) Using social media to report the incident (e.g. posting in Twitter) [18][19][20]. The limitations of these approaches are: (1) They may not provide real-time detection but near real-time, usually within minutes of the incident, this depends on how fast people will report the incident.…”

Section: ) Mobile Crowd Sensing Based Techniquesmentioning

confidence: 99%

Detection of Mass Panic using Internet of Things and Machine Learning

Alsalat¹,

El-Ramly²,

Fahmy³

et al. 2018

ijacsa

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Abstract-The increase of emergency situations that cause mass panic in mass gatherings, such as terrorist attacks, random shooting, stampede, and fires, sheds light on the fact that advancements in technology should contribute in timely detecting and reporting serious crowd abnormal behaviour. The new paradigm of the 'Internet of Things' (IoT) can contribute to that. In this study, a method for real-time detection of abnormal crowd behaviour in mass gatherings is proposed. This system is based on advanced wireless connections, wearable sensors and machine learning technologies. It is a new crowdsourcing approach that considers humans themselves as the surveillance devices that exist everywhere. A sufficient number of the event's attendees are supposed to wear an electronic wristband which contains a heart rate sensor, motion sensors and an assisted-GPS, and has a wireless connection. It detects the abnormal behaviour by detecting heart rate increase and abnormal motion. Due to the unavailability of public bio-dataset on mass panic, dataset of this study was collected from 89 subjects wearing the abovementioned wristband and generating 1054 data samples. Two types of data collected were: firstly, the data of normal daily activities and secondly, the data of abnormal activities resembling the behaviour of escape panic. Moreover, another abnormal dataset was synthetically generated to simulate panic with limited motion. In our proposed approach, two-phases of data analysis are done. Phase-I is a deep machine learning model that was used to analyze the sensors' collected readings of the wristband and detect if the person has indeed panicked in order to send alerting signals. While phase-II data analysis takes place in the monitoring server that receives the alerting signals to conclude if it is a mass panic incident or a false positive case. Our experiments demonstrate that the proposed system can offer a reliable, accurate, and fast solution for panic detection. This experiment uses the Hajj pilgrimage as a case study.

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“…Users can post news or links, dis-cuss them, share their opinion on certain issues during real times and even create poll (Simon, Goldberg, & Adini, 2015). SM can be used with minimal cost, making it one of the easiest and most cost effective channels for information dissemination, search, and has potential to be use as a tool to mobilize people.…”

Section: Social Media For Disaster Managementmentioning

confidence: 99%

“…The emergency authorities realized that it is possible to have a better emergency management by providing updated and authorized information to public using SM as official communication. By utilizing the SM, it provides opportunities for engaging citizens during the disaster management by both disseminating information to the public and accessing information from them (Simon et al, 2015). SM can be used as tool to improve the disaster lifecycle by linking the public with real-time, correct and authorized information that can be easily obtained through the official SM tool.…”

Section: Social Media For Disaster Managementmentioning

confidence: 99%

Social Media As Communication Tool In The Case Of Kemaman Flood

Latif¹

2018

The European Proceedings of Social and Behavioural Sciences

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Flood is one of the natural disaster that affect Malaysia and 2014 had seen one of the worst flood in history.Kelantan, Pahang and Terengganu was the three states that were severely affected by the flood. However, Kemaman district in Terengganu was one of the place that was well managed despite severe flooding.Communications is one of the fundamental tools that were used to reduce the impacts in the case of Kemaman. This paper discuses on theories of disaster communication and how social media is used as a tool for communicating information to agencies involved during disaster as well to the public affected. This study applies a case study approach by means of: conducting field study at Kemaman District Office for observation, studying documents and interviewing key actors that were directly involved in the communication aspect of the Kemaman disaster. The result from this study is a better understanding on how communication in disaster are being practiced in Kemaman, especially the usage of social media. We conclude by reviewing ongoing challenges in communicating during disaster, and recommendation on how social media can be effectively used in disaster communication.

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Socializing in emergencies—A review of the use of social media in emergency situations

Cited by 393 publications

References 50 publications

Terror Management and Twitter: The Case of the 2016 Berlin Terrorist Attack

Terror Management and Twitter: The Case of the 2016 Berlin Terrorist Attack

Detection of Mass Panic using Internet of Things and Machine Learning

Social Media As Communication Tool In The Case Of Kemaman Flood

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